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Real-time user positioning and navigation services are widely used daily by millions of people. The challenge is that common global positioning systems fail in indoor environment or in scenes with a limited sky view. In the paper, the indoor navigation framework based on the Bluetooth beacons is proposed. Such system allows user to obtain the position in GPS denied environment on a real-time basis...
The possibility of complex reflection coefficient value estimation via discrete Fourier transform of output signals of equidistant probes in multiprobe measuring line is considered. This approach provides linear problem and explanation of known previous results. The general features of this approach and the holography with colliding beams are under discussion. The influence of noise on accuracy of...
Synthetic aperture radar (SAR) is a powerful tool for remote sensing of the Earth surface. In the paper, several applications of pattern detection and recognition algorithms for extraction of information from SAR images are discussed. In particular, an idea of usage of optical flow techniques for automatic estimation of the moving target displacements from a sequence of single-look SAR images is proposed...
We present a novel solution for Channel Assignment Problem (CAP) in Device-to-Device (D2D) wireless networks that takes into account the throughput estimation noise. CAP is known to be NP-hard in the literature and there is no practical optimal learning algorithm that takes into account the estimation noise. In this paper, we first formulate the CAP as a Stochastic Optimization Problem (SOP) to maximize...
Transfer functions and equivalent transformed structures of observed-based linear time-invariant control systems with the deterministic unmeasured disturbance have been found. They allow to simplify analysis of these systems. To determine the transfer functions used in formulas for the cell matrix.
Compressive sensing (CS) is a viable source of an innovative 5G system, what's more, it's an effective technology to deal with the data redundancy problem of massive machine-to-machine communication (MMC), since it enables the recovery of sparse and approximately sparse signals with significantly fewer samples than demanded by Nyquist-Shannon sampling theory. Interference in signal will lead a series...
The increasing interest in vehicular communications draws attention to scalability and network congestion problems and therefore on techniques to offload the traffic, typically carried through the infrastructure, to the Vehicle-to-vehicle (V2V) network. Floating content (FC) represents a promising paradigm to share ephemeral content without direct support from infrastructure. It is based on constraining...
Vehicular mobility scenarios are utilized to study vehicular networks and transportation systems. However, the generation of vehicular simulation scenarios at scale poses several research challenges. Large-scale vehicular datasets (in geographic coverage and time span) are not easily or publicly available, which hinders the generation of data-driven scenarios. In this paper, we introduce a systematic...
For low density crowd, the statistical information of pixels and feature points can reflect the change of crowd density. Therefore, pixels and corners are fused in this paper, then, SVR is used to learn the corresponding relationship between feature and the number of people. While PSO is used to optimize the choice of parameters C and gamma in SVR. The experimental results show that the SVR optimized...
Location Model is a classification model that capable to deal with mixtures of binary and continuous variables simultaneously. The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the cells. It is important to note that location model is biased and even impossible to be constructed when...
In this paper, we present an improved motion estimation method by adding extra information for binocular visual odometry (VO) which is especially suited for improving high-speed pose change estimation. The extra information is obtained by structured object detecting, taking lane line detection as an example. We can get an accurate position information by calculating the interval of each dotted lane...
In the production of bulk materials or thin films, scientists usually seek to know about the geometric features of grains and some statistical properties of the material through the SEM image. Especially, the area ratio of grain to grain boundary plays an important role in applications. Some basic properties such as density, dielectric constant, hydrophobicity, hydrophilicity, piezoelectric constant,...
H.264 coding technology is the most commonly-used video compression technology. As H.264 videos in transmission, video packet losses inevitably occur. The error concealment method can solve the problem. For the lost block, we use the motion vector of neighboring available block to estimate the lost motion vectors, and the estimates propagate to predict all other missing motion vectors. By comparison...
Creating an efficient localization algorithm for Internet of Things (IoT) and heterogeneous networks has been of the greatest challenges in the recent years for the researchers and industries. There has been significant efforts to increase the estimation accuracy and computational speed of localization algorithms either by improving the already existing ones or proposing new solutions. In this paper...
High precision location information formulates the basis of many modern wireless location based services (LBS). However, location privacy becomes an important issue along with the advantages that LBS offers. In this paper, we first show that, a novel eavesdropper is able to perform position estimation of the agent by purely overhearing the measurement signals between agents and anchors, using a time...
This informational collection is utilized to anticipate the odds of an event of heart assault for a patient. In the season of cutting edge smartphones contributing 12 attributes is not feasible. We play out the product metric examination on the given informational collection. In view of the investigation of information we try to bring the total number of attributes into a small figure and in the end,...
Spearman's rank relationship coefficient is a nonparametric (dispersion free) rank measurement. Spearman's coefficient is not a measure of the direct relationship between two factors, as a few ”analysts” proclaim. Pearson's relationship coefficient is the covariance of the two factors separated by the result of their standard deviations. The possibility of the paper is to look at the estimations of...
This paper proposes a method for speeding up the estimation of the absolute value of largest eigenvalue of an asymmetric tridiagonal matrix based on Power method. An error analysis shows that the proposed method provide errors no greater than the usual Power method. The proposed method involves the computation of the tridiagonal matrix square under analysis, which is performed through a proposed fast...
This paper proposes an adaptive cross-window stereo camera distance estimation technology which is a low complexity disparity algorithm and high efficient parallelized, which includes Adaptive Cross Window Distance Estimation (ACWDE) and disparity-based erosion. The proposed algorithm reduces the computation time by changing the aggregation window shape, which calculates color and texture of 13 pixels...
In this paper, a new on-line observer-based controller is developed to implement trajectory tracking for wheeled non-holonomic mobile robots. The proposed approach is designed to track a user-specified trajectory which is not required to be pre-specified. A novel estimation technique is presented leading to short transient estimation period with reasonable overshoot which are hard to achieve using...
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